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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 14311
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    Explanations

    words related to prominent figures and institutions, especially in academia and finance

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and specific terms related to people and applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     destro
    -0.80
     actionGroup
    -0.80
    NetMessage
    -0.79
    ãĥĢ
    -0.68
    osate
    -0.67
     mustard
    -0.67
     è£ıç
    -0.66
    iciary
    -0.65
    Chem
    -0.64
    inates
    -0.62
    POSITIVE LOGITS
    ulum
    0.93
    nis
    0.80
    ende
    0.77
     Sail
    0.71
    berger
    0.70
    BALL
    0.70
    reens
    0.69
    reme
    0.67
    ellen
    0.67
    ochet
    0.66
    Activations Density 0.023%

    No Known Activations